{"uid":"cap_mlBsUqxiWRdYox8SlnpeT","slug":"nlp-biometric-extractor-mcp-node-m2mcent-106-4c2e9f81","name":"NLP Biometric Extractor MCP Node (m2mcent-106)","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/nlp-biometric-extractor-mcp-106/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["data"],"properties":{"data":{"type":"string"}}},"responseSchema":{"type":"object","required":["url"],"properties":{"url":{"type":"boolean"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.15","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.757363/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.757363","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.757363","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_i5r31dvYD6sP4z5DCENSz","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.757363","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts biometric-related information from natural language text input and returns a boolean URL result flag","exampleAgentPrompt":"Extract any biometric information from this text: 'Subject has blue eyes, 6ft 2in height, distinctive scar on left cheek, and a resting heart rate of 62 bpm.'","exampleUseCases":[{"title":"Biometric entity extraction from report","prompt":"I have a security report that reads 'Individual observed: brown hair, hazel eyes, approximately 5ft 9in, 180 lbs, with a unique mole on the right jawline' — can you extract all the biometric details from that text?"},{"title":"Patient biometric parsing from notes","prompt":"Pull out all the biometric identifiers from this clinical note: 'Patient presents with green eyes, fair complexion, height 170cm, weight 68kg, blood pressure 120/80.'"},{"title":"Identity attribute extraction from description","prompt":"I need to extract biometric attributes from this witness statement: 'The person had dark curly hair, was about 5ft 5in tall, had a broad nose, and a visible tattoo on the right forearm.'"}],"resultDescription":"Returns a JSON object with a 'url' field containing a boolean value indicating whether the extraction processed successfully or matched a biometric URL reference in the input text. The schema is minimal and the boolean likely signals presence/absence or success/failure of the biometric extraction operation.","failureModes":["Missing required 'data' field returns validation error","Empty string input may return false boolean","Malformed JSON body causes 400-level error","Service unavailability or payment failure (402) if USDC balance insufficient","Ambiguous or non-biometric text may yield false negative"],"whenToPreferThis":"Use this endpoint when you need to extract biometric attributes or identifiers from unstructured natural language text as part of an automated pipeline, particularly when operating within the M2MCent MCP node network with x402 micropayment settlement on Base L2.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:35:28.079Z","isFirstParty":false,"canonicalSlug":"nlp-biometric-extractor-mcp-node-m2mcent-106-4c2e9f81"}